Bayesian and Non Bayesian Estimations on the Exponentiated Modified Weibull Distribution for Progressive Censored Sample
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Publication:3102881
DOI10.1080/03610918.2011.569674zbMath1227.62012OpenAlexW2012302283MaRDI QIDQ3102881
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Publication date: 25 November 2011
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2011.569674
Monte Carlo simulationLINEX loss functionsquared error loss functionimportance sampling techniqueprogressive type-II censored
Point estimation (62F10) Censored data models (62N01) Bayesian inference (62F15) Monte Carlo methods (65C05)
Related Items (2)
The exponentiated Weibull distribution: a survey ⋮ Using BBPSO Algorithm to Estimate the Weibull Parameters with Censored Data
Cites Work
- Assessing the lifetime performance index of Rayleigh products based on the Bayesian estimation under progressive type II right censored samples
- A generalized modified Weibull distribution for lifetime modeling
- Bayesian inference and life testing plans for generalized exponential distribution
- Bayesian inference and prediction of the inverse Weibull distribution for type-II censored data
- Importance sampling algorithms for Bayesian networks: principles and performance
- Bayesian inference for Rayleigh distribution under progressive censored sample
- Estimators for the 2-Parameter Weibull Distribution with Progressively Censored Samples
- Bayesian Inference in Econometric Models Using Monte Carlo Integration
- Bayesian Prediction for Progressively Type-II Censored Data from the Rayleigh Model
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